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Fullstack engineer

Berlin
Libra
Ingenieur
Inserat online seit: 9 Juni
Beschreibung

Why Libra now?

We're on a mission to revolutionize the way lawyers work by teaching computers to think like a lawyer. We're a team of engineers and lawyers working closely together building a secure AI platform to automate legal workflows reliably and transparently.

Libra is already trusted and used by more than 300 law firms across 8 countries and growing fast. We're backed by Merantix, Europe’s leading AI Fund, giving us the resources needed to achieve our vision. Joining Libra at this early stage you will have a large responsibility from day one with an unlimited potential to grow personally and professionally together with the team.

If you’re high-energy, passionate and our mission feels compelling to you, waste no time – apply and reach out to us now!

The role

We are looking for exceptional engineers to join our fast-growing team automating manual processes for legal professionals. You'll play a central role in developing our AI product and have end-to-end ownership of new features.

You will focus on research and development related to large language models, reporting directly to our CTO, and as part of a lean engineering team, we expect that you are able to contribute across the stack when necessary.

We're looking for in-depth experience with:

* Python (FastAPI)
* Database management (postgres, vector)
* Building agentic LLM-powered products with RAG and tool usage
* LLM-related frameworks like Langfuse and LangChain or similar
* Docker
* Reliability, observability, scalability
* Security best practices
* Typescript is a plus but not a requirement

Our team works in person at the Merantix AI Campus in Berlin. You must have excellent English verbal and written communication skills. Fluency in German is a plus.

Who you are

* You have an entrepreneurial mindset and a deep sense of urgency in achieving your goals
* A self-starter mindset - you enjoy working independently while keeping the team’s goals in mind
* A pragmatic approach to problem solving. It’s more important to you to solve the problem than to use new/hyped technology
* Ability to balance trade-offs between simple 80% solutions and complex 100% solutions

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